In this paper, a label-free biosensor is developed for monitoring the glucose level in the solution. A wireless passive inductor integrated cavity (IIC)-based biosensor is studied. The proposed IIC consists of a passive spiral inductor integrated cavity resonator for continuous monitoring of capillary blood glucose. The proposed method is based on the cavity perturbation theory, where the solution with different glucose levels perturbs and interacts with the passive IIC-based biosensor. The variation in the effective permittivity εeff and permeability μeff of the cavity resonator due to different glucose levels changes the equivalent capacitance and inductance of the proposed IIC. In turn, the corresponding resonance frequency changes. The in-vitro measurements are performed on deionized water glucose solutions of various glucose concentrations within the range of 75 mg/dL to 250 mg/dL. https://www.selleckchem.com/products/polybrene-hexadimethrine-bromide-.html The results demonstrate that the sensor's resonant frequency increases with the increase in glucose level in the solution with a sensitivity of 32 kHz/mgdL-1.The gastrointestinal (GI) tract is in part controlled by slow wave electrical activity. Recordings of slow waves with high-resolution (HR) electrode arrays are used to characterize normal and abnormal conduction pathways. Improving the quality of these electrical recordings is important for developing a better understanding of abnormal activity. Contact pressure is one factor that can affect the quality of electrical recordings. We compared the performance of two pressure sensing devices for measuring HR electrode array contact pressure. A Velostat-based sensor array was custom designed and built in a 4 × 2 conguration (area 30 mm2 per sensor) to be integrated into electrical recordings. Commercially available FlexiForce A201 sensors were used to compare to the Velostat-based sensors. Benchtop testing of these sensors was performed; the error of the Velostat-based sensors (14-31%) was better than that of the FlexiForce sensors (20-49%) within a range of 2666-6666 Pa. The Velostat-based sensors were also more repeatable than the FlexiForce sensors over the same pressure range. Simultaneous pressure and slow wave recordings were performed in vivo on a rabbit small intestine. The Velostat-based sensors were able to resolve spatiotemporal changes in contact pressure in the range of 0-10 000 Pa.This paper presents a novel lead body design for active implantable medical devices (AIMD) to reduce Radio-frequency (RF) induced heating during magnetic resonance imaging (MRI) scanning. By introducing a counterpoise electrode to the original lead construct, part of the RF-induced energy can be decoyed into the surrounding tissues while the therapy signal is intact. The numerical simulation studies of three leads with different configurations are presented to demonstrate the effectiveness of this technique. From simulation results at 1.5 T, the peak 1g average SAR value can be reduced by a factor of 3 when the length of the counterpoise electrode is properly designed.This paper presents a new technique to design a robust inductive link for Wireless Power Transmission (WPT) to centimeter-sized (cm-sized) Implantable Medical Devices (IMDs). The consequence of this methodology is the bandwidth extension of utilized link to maximize both Power Delivered to Load (PDL) and Power Transfer Efficiency (PTE). Design, circuit implementation, and In-vivo validation experimental results are reported. Different conditions of tests, including three misalignment experiments, are performed with the proposed WPT system to prove the concept of a robust inductive link. The geometry of the Transmitter (Tx) and Receiver (Rx) coils are considered as well as the operating frequency (fp) of the WPT system. The Tx and Rx coils are crafted in a circulated shape with the diameters of 5 and 2.5 cm, respectively. Achieved PTE and PDL are in the range of 0.82%-25.7% and 44.4mW-720mW, respectively. The distance between Tx and Rx coils varies in the range of 1.5 to 4cm.With technological advancement, wearable egocentric camera systems have extensively been studied to develop food intake monitoring devices for the assessment of eating behavior. This paper provides a detailed description of the implementation of CNN based image classifier in the Cortex-M7 microcontroller. The proposed network classifies the captured images by the wearable egocentric camera as food and no food images in real-time. This real-time food image detection can potentially lead the monitoring devices to consume less power, less storage, and more user-friendly in terms of privacy by saving only images that are detected as food images. A derivative of pre-trained MobileNet is trained to detect food images from camera captured images. The proposed network needs 761.99KB of flash and 501.76KB of RAM to implement which is built for an optimal trade-off between accuracy, computational cost, and memory footprint considering implementation on a Cortex-M7 microcontroller. The image classifier achieved an average precision of 82%±3% and an average F-score of 74%±2% while testing on 15343 (2127 food images and 13216 no food images) images of five full days collected from five participants.Recently, video plethysmography (VPG) - a heart rate estimation technique using a video camera - has gained significant attention. Most studies of VPG have used a visible RGB camera; only a limited number of studies investigating near-infrared light (wavelength 750-2500 nm), which can be used even in a dark environment, have been performed. The purpose of this study was to investigate the differences between VPG data collected using visible light (VPGVIS) or near-infrared light (VPGNIR) from four facial areas (forehead, right cheek, left cheek, and nose). An experiment was conducted to obtain both VPGVIS and VPGNIR simultaneously by alternately irradiating the face with NIR and VIS lights. Experimental results showed that the root mean squared error of heart rate estimated using VPGNIR was 1 bpm higher than that of VPGVIS. However, contrary to our expectations, the power of the heartbeat-related component included in VPGNIR was not reduced despite the absorbance of hemoglobin in the NIR light range being 1/100 of that in the VIS light range.